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Remote Algorithmic Trading Software Developer Jobs in Los Angeles, CA

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... of algorithms and data structures . * Experience with bug fixing and debugging complex software ...

Remote Work Shift: (9 am - 5 pm (EST Time Zone)Client: Sapta Global Inc (Candidate Duties on the ... The management of the entire software development process, from conception to deployment.Updating ...

Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ... software engineering best practices . * Experience working effectively in remote or cross ...

Senior Software Developer

Los Angeles, CA · On-site +1

$147K - $198K/yr

The software developers on our team are the primary contributors to Neuron on both the frontend and ... You will work closely with a fully remote team of designers, developers, and stakeholders to add ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... of algorithms and data structures . * Experience with bug fixing and debugging complex software ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Remote Algorithmic Trading Software Developer information

See Los Angeles, CA salary details

$51.7K

$120.5K

$178.9K

How much do remote algorithmic trading software developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote algorithmic trading software developer in Los Angeles, CA is $120,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $140,100.00 per year, depending on experience, location, and employer.

What is a remote algorithmic trading software developer?

Remote Algorithmic Trading Software Developers are professionals who design, develop, and maintain software systems that automate the trading of financial instruments using algorithms. They work from remote locations, leveraging their expertise in programming, quantitative analysis, and financial markets to create and optimize trading strategies. Their responsibilities include writing efficient code, backtesting strategies, integrating with broker APIs, and ensuring system reliability. These developers often collaborate with traders, data scientists, and other engineers to improve trading performance and adapt to changing market conditions.

What are the key skills and qualifications needed to thrive as a remote algorithmic trading software developer?

To thrive as a Remote Algorithmic Trading Software Developer, you need strong programming skills (commonly in Python, C++, or Java), a background in mathematics or quantitative finance, and experience developing trading algorithms. Familiarity with trading platforms, APIs, version control systems (like Git), and cloud computing tools is typically required, along with knowledge of market data feeds and order management systems. Critical soft skills include problem-solving, attention to detail, and effective communication for collaborating remotely with teams. These skills ensure robust, efficient trading systems and allow for quick adaptation to volatile market environments.

How does a remote algorithmic trading software developer typically collaborate with quantitative analysts and traders?

As a Remote Algorithmic Trading Software Developer, you will regularly work with quantitative analysts and traders to translate trading strategies into efficient, robust code. Collaboration often involves virtual meetings to discuss requirements, clarify algorithm logic, and iterate on prototypes based on backtesting results. Clear communication is essential, as you’ll need to ensure your implementations align closely with the team's risk management and performance goals. Most teams use collaboration tools like Slack or Jira, and code repositories like Git, to stay coordinated despite the remote setup.

What are the most commonly searched types of Algorithmic Trading Software Developer jobs in Los Angeles, CA?

The most popular types of Algorithmic Trading Software Developer jobs in Los Angeles, CA are:

What are popular job titles related to Remote Algorithmic Trading Software Developer jobs in Los Angeles, CA?

For Remote Algorithmic Trading Software Developer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Remote Algorithmic Trading Software Developer jobs in Los Angeles, CA look for?

The top searched job categories for Remote Algorithmic Trading Software Developer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Remote Algorithmic Trading Software Developer jobs?

Cities near Los Angeles, CA with the most Remote Algorithmic Trading Software Developer job openings:

Infographic showing various Remote Algorithmic Trading Software Developer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,514 per year, or $57.9 per hour.

Frontend Developer - Remote

YO AI Labs

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 9 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.